AI Aether
Know where your enterprise AI stands before you scale
What it does
Most enterprises spend millions on AI with zero measure of readiness. No baseline. No gap analysis. Just vendor promises and optimism. AI Aether fixes that. It scores your enterprise across 5 production-critical dimensions- data, governance, safety, infrastructure, and org capability - built from 25+ years of Fortune 100 AI deployments. Know your AI Differentiation Quotient in 30 minutes. Not a survey. Signal from the field.
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Enterprise AI Readiness AssessmentJul 2026 · buildingai.in · ▲3Score your org's enterprise-AI readiness in 2 minutes
- BYBenchmark your eng team's AI agent maturity in 5 minutesJul 2026 · agent-benchmarks.com · ▲14
we had hundreds of discussions with engineering leaders over the past few months, and everyone's trying to understand where they are in the AI journey. we collected all this data into a benchmark and built a free grader to let you know where you stand. you answer on a 1–5 scale (e.g., autonomy runs from "suggestions only" to "agents own multi-hour workflows across code, infra, and external systems") - takes about 5 minutes. https://agent-benchmarks.com/software-factory/ waiting for your results!
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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